Ilura ve Ollama
Ollama is a model runtime — it pulls and runs the model. Ilura is an agent lifecycle platform — it forges, trains, publishes, and supervises agents. They are not competitors; Ilura uses Ollama as a first-class student model. If you only need local inference, choose Ollama. If you need to build an agent and ship it as a product, choose Ilura on top of Ollama.
Ollama is a local LLM runtime: it pulls open-weight models (Llama, Mistral, Qwen, etc.) from a CLI, runs them on the local machine, and exposes an OpenAI-compatible API. As of 2026, free for local use plus Pro ($20/month) and Max ($100/month) cloud tiers.
01Ilura ne zaman daha iyi?
- You need agent reasoning + tool calling + audit. Ollama exposes a single LLM endpoint; tool orchestration, policy engine, and audit chain live in Ilura.
- You don't want to prepare datasets manually. In Ilura, your approval/denial decisions are written automatically to a LoRA adapter. Ollama alone doesn't fine-tune; you have to wire up Unsloth/Axolotl + datasets.
- You want to publish the agent as an API. Ilura's cloud runtime wraps production traffic with policy + monitoring + tether. Ollama Pro/Max provide model inference, not an agent endpoint.
- You're switching between LLM providers. Ilura coordinates Claude, GPT, Gemini, Mistral, and Ollama in one workbench; user history travels across providers.
02Ollama ne zaman daha iyi?
- You only need local model inference. "Pull Llama 3.2, serve on port 11434" — Ollama handles it in seconds. Ilura would be overkill.
- Your existing app uses the OpenAI API format. Ollama exposes an OpenAI-compatible endpoint — one-line base_url change.
- You don't need an agent. Single-prompt single-response use, simple chatbot, basic RAG. The agent lifecycle is unnecessary overhead.
- You must run fully offline. Ollama is 100% local. Ilura's desktop side is local too, but the publish flow requires the cloud runtime.
03Temel farklar
| Eksen | Ilura | Ollama |
|---|---|---|
| Category | Agent lifecycle platform | Local LLM runtime |
| Tool calling / orchestration | PolicyEngine + approval bridge + audit chain | None (model API; orchestration is on the user) |
| Training | Teacher-student + LoRA + DPO; use is training | None (loads model files; fine-tune is external) |
| Publish/API | api.ilura.com.tr endpoint, BYOK support, plan-based rate limits | Pro/Max cloud tiers offer model inference, not agent endpoints |
| Audit/security | SHA-256 hash chain + ECDSA signing + zero-trust policy | Standard HTTP API; application-layer security is on the user |
| Capability binding | MCP gateway (Claude Desktop, Cursor, etc.) + native tools | OpenAI-compatible API; tool calling is limited |
| Pricing (May 2026) | Explorer free · Developer €24.99/mo (annual €249.99) · Founder €49.99/mo (annual €499.99) | Local free · Pro $20/mo · Max $100/mo |
| Relationship | Uses Ollama as a first-class student model | Independent runtime; runs alongside Ilura |
04Sık sorulan sorular
Why would I need Ilura when I have Ollama?
Ollama is an engine — it runs the model file and gives you an endpoint. Ilura builds the agent environment around it: purpose, tools, boundaries, training, audit, publish. A car engine vs. a car: both are required; one doesn't replace the other.
Does Ilura only work with Ollama?
No. Ilura is LLM-agnostic: Claude (Anthropic), GPT (OpenAI), Gemini (Google), Mistral, and Ollama. Ollama is the first-class local student model; the teacher can be Claude or GPT.
Can I fine-tune in Ollama directly?
Not directly. You fine-tune externally with Unsloth or Axolotl, then import the resulting model into Ollama. Ilura closes that loop: your approvals/denials during use become training data for a LoRA adapter — no manual dataset prep.
Where does data live?
Both are local-first. Ollama can run fully offline; Ilura's desktop side stores in local SQLite — only published-agent production traffic touches the cloud runtime.
Is Ilura fast on Apple Silicon?
Ilura's training layer uses MLX (Apple Silicon-specific) and Ollama's Metal backend. On M-series machines, LoRA training completes in minutes.
yanındayım — Ilura